99 lines
3.7 KiB
Python
Executable File
99 lines
3.7 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: UTF-8 no BOM -*-
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import os,sys,math
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import numpy as np
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import damask
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from scipy import ndimage
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from optparse import OptionParser
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from collections import defaultdict
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scriptName = os.path.splitext(os.path.basename(__file__))[0]
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scriptID = ' '.join([scriptName,damask.version])
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def mostFrequent(arr):
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d = defaultdict(int)
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for i in arr: d[i] += 1
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return sorted(d.iteritems(), key=lambda x: x[1], reverse=True)[0][0] # return value of most frequent microstructure
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#--------------------------------------------------------------------------------------------------
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# MAIN
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#--------------------------------------------------------------------------------------------------
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parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
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Smooth geometry by selecting most frequent microstructure index within given stencil at each location.
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""", version=scriptID)
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parser.add_option('-s','--stencil',
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dest = 'stencil',
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type = 'int', metavar = 'int',
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help = 'size of smoothing stencil [%default]')
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parser.set_defaults(stencil = 3,
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)
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(options, filenames) = parser.parse_args()
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# --- loop over input files -------------------------------------------------------------------------
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if filenames == []: filenames = [None]
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for name in filenames:
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try:
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table = damask.ASCIItable(name = name,
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buffered = False,
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labeled = False)
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except: continue
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damask.util.report(scriptName,name)
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# --- interpret header ----------------------------------------------------------------------------
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table.head_read()
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info,extra_header = table.head_getGeom()
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damask.util.croak(['grid a b c: {}'.format(' x '.join(map(str,info['grid']))),
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'size x y z: {}'.format(' x '.join(map(str,info['size']))),
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'origin x y z: {}'.format(' : '.join(map(str,info['origin']))),
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'homogenization: {}'.format(info['homogenization']),
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'microstructures: {}'.format(info['microstructures']),
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])
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errors = []
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if np.any(info['grid'] < 1): errors.append('invalid grid a b c.')
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if np.any(info['size'] <= 0.0): errors.append('invalid size x y z.')
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if errors != []:
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damask.util.croak(errors)
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table.close(dismiss = True)
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continue
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# --- read data ------------------------------------------------------------------------------------
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microstructure = table.microstructure_read(info['grid']).reshape(info['grid'],order='F') # read microstructure
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# --- do work ------------------------------------------------------------------------------------
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microstructure = ndimage.filters.generic_filter(microstructure,mostFrequent,size=(options.stencil,)*3)
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# --- write header ---------------------------------------------------------------------------------
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table.info_clear()
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table.info_append([scriptID + ' ' + ' '.join(sys.argv[1:]),])
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table.head_putGeom(info)
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table.info_append([extra_header])
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table.labels_clear()
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table.head_write()
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# --- write microstructure information ------------------------------------------------------------
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formatwidth = int(math.floor(math.log10(microstructure.max())+1))
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table.data = microstructure.reshape((info['grid'][0],np.prod(info['grid'][1:])),order='F').transpose()
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table.data_writeArray('%%%ii'%(formatwidth),delimiter = ' ')
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# --- output finalization --------------------------------------------------------------------------
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table.close() # close ASCII table
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